To protect against unauthorized data mining, the TPS must detect code injection attacks launched against data storage objects, including, at a minimum, databases, database records, queries, and fields.

Overview

Finding ID	Version	Rule ID	IA Controls	Severity
V-242170	TIPP-IP-000040	SV-242170r710053_rule		Medium

Description
Data mining is the analysis of large quantities of data to discover patterns and is used in intelligence gathering. Failure to detect attacks that use unauthorized data mining techniques to attack databases may result in the compromise of information. Injection attacks allow an attacker to inject code into a program or query or inject malware onto a computer to execute remote commands that can read or modify a database, or change data on a website. Web applications frequently access databases to store, retrieve, and update information. An attacker can construct inputs that the database will execute. This is most commonly referred to as a code injection attack. This type of attack includes XPath and LDAP injections. TPS component(s) with anomaly detection must be included in the IDPS implementation to protect against unauthorized data mining. These components must include rules and anomaly detection algorithms to monitor for atypical database queries or accesses.

Description

Data mining is the analysis of large quantities of data to discover patterns and is used in intelligence gathering. Failure to detect attacks that use unauthorized data mining techniques to attack databases may result in the compromise of information. Injection attacks allow an attacker to inject code into a program or query or inject malware onto a computer to execute remote commands that can read or modify a database, or change data on a website. Web applications frequently access databases to store, retrieve, and update information. An attacker can construct inputs that the database will execute. This is most commonly referred to as a code injection attack. This type of attack includes XPath and LDAP injections. TPS component(s) with anomaly detection must be included in the IDPS implementation to protect against unauthorized data mining. These components must include rules and anomaly detection algorithms to monitor for atypical database queries or accesses.

STIG	Date
Trend Micro TippingPoint IDPS Security Technical Implementation Guide	2021-06-09

Details

Check Text ( C-45445r710051_chk )
1. In the Trend Micro SMS, navigate to "Profiles" and "Inspection Profiles" and select the organization's profile. 2. If there is not one configured, select "Default". 3. Click "Search". 4. Under "Filter criteria", select all "Filter categories". Select the "Filter Name" section and type "database". If the filter settings are not set for each to "Use Category Settings" or there are filter items disabled that are outside of recommended Trend Micro settings, this is a finding.

Check Text ( C-45445r710051_chk )

1. In the Trend Micro SMS, navigate to "Profiles" and "Inspection Profiles" and select the organization's profile.
2. If there is not one configured, select "Default".
3. Click "Search".
4. Under "Filter criteria", select all "Filter categories". Select the "Filter Name" section and type "database".

If the filter settings are not set for each to "Use Category Settings" or there are filter items disabled that are outside of recommended Trend Micro settings, this is a finding.

Fix Text (F-45403r710052_fix)
1. In the Trend Micro SMS, navigate to "Profiles" and "Inspection Profiles" and select the organization's profile. 2. If there is not one configured, select "Default". 3. Click "Search". 4. Under "Filter criteria", select all "Filter categories". Select the "Filter Name" section and type "database". 5. Ensure all items in the search results have "Use Category Settings" selected.